An open access journal
Advancing Healthcare Systems for Improved Patient Outcomes
Abstract
This paper explores the advancement of healthcare systems for improved patient outcomes through AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is revolutionizing traditional healthcare practices, including diagnosis, treatment, and personalized medicine. The study highlights the application of AI techniques such as medical imaging analysis, predictive modeling, and clinical decision support systems in early disease detection, treatment planning, and patient monitoring. Additionally, it discusses the integration of AI with electronic health records, wearable devices, and telemedicine platforms to enable remote monitoring, personalized interventions, and data-driven healthcare delivery. The paper also addresses challenges such as data privacy, regulatory compliance, and ethical considerations in the deployment of AI-driven engineering solutions in healthcare. It emphasizes the importance of interdisciplinary collaboration, patient engagement, and evidence-based practice in leveraging AI's potential to transform healthcare delivery and improve patient outcomes.
Share and Cite
Article Metrics
References
- Beam, A. L., & Kohane, I. S. (2018). Big data and machine learning in health care. JAMA, 319(13), 1317-1318.
- Esteva, A., Kuprel, B., Novoa, R. A., Ko, J., Swetter, S. M., Blau, H. M., & Thrun, S. (2017). Dermatologist-level classification of skin cancer with deep neural networks. Nature, 542(7639), 115-118.
- Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., ... & Wang, Y. (2017). Artificial intelligence in healthcare: Past, present and future. Stroke and Vascular Neurology, 2(4), 230-243.
- Obermeyer, Z., & Emanuel, E. J. (2016). Predicting the future—Big data, machine learning, and clinical medicine. New England Journal of Medicine, 375(13), 1216-1219.
- Rajkomar, A., Dean, J., Kohane, I., & Butt, A. A. (2019). Machine learning in medicine. New England Journal of Medicine, 380(14), 1347-1358.
- Topol, E. J. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56.
- Zhang, L., & Liu, J. (2016). Deep learning for remote sensing data: A technical tutorial on the state of the art. IEEE Geoscience and Remote Sensing Magazine, 4(2), 22-40.